Securing storage units in a dispersed storage network

ABSTRACT

A method includes, for a storage unit of a set of storage units of the DSN, performing at least one of determining whether a data access request for the storage unit is atypical, determining whether an error rate for the storage unit is atypical, and determining whether a response rate for the storage unit is atypical. When the at least one of the data access request, the error rate, and the response rate for the storage unit is atypical, the method continues by identifying the storage unit as having a security risk. The method continues by executing a security response for the storage unit based on the security risk.

STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH OR DEVELOPMENT

Not applicable.

INCORPORATION-BY-REFERENCE OF MATERIAL SUBMITTED ON A COMPACT DISC

Not applicable.

BACKGROUND OF THE INVENTION Technical Field of the Invention

This invention relates generally to computer networks and more particularly to dispersing error encoded data.

Description of Related Art

Computing devices are known to communicate data, process data, and/or store data. Such computing devices range from wireless smart phones, laptops, tablets, personal computers (PC), work stations, and video game devices, to data centers that support millions of web searches, stock trades, or on-line purchases every day. In general, a computing device includes a central processing unit (CPU), a memory system, user input/output interfaces, peripheral device interfaces, and an interconnecting bus structure.

As is further known, a computer may effectively extend its CPU by using “cloud computing” to perform one or more computing functions (e.g., a service, an application, an algorithm, an arithmetic logic function, etc.) on behalf of the computer. Further, for large services, applications, and/or functions, cloud computing may be performed by multiple cloud computing resources in a distributed manner to improve the response time for completion of the service, application, and/or function. For example, Hadoop is an open source software framework that supports distributed applications enabling application execution by thousands of computers.

In addition to cloud computing, a computer may use “cloud storage” as part of its memory system. As is known, cloud storage enables a user, via its computer, to store files, applications, etc. on an Internet storage system. The Internet storage system may include a RAID (redundant array of independent disks) system and/or a dispersed storage system that uses an error correction scheme to encode data for storage.

As is also further known, stored data may be secured by a variety of methods (e.g., encryption, firewalls, etc.). Deliberate attacks (e.g., phishing, keylogger scams, etc.) on systems often occur in an attempt to gain access to data stored within the system. Other times, data may be inadvertently exposed to unauthorized users and/or devices. The data stored on a system may also be less secure at times when a storage device of the system is failing.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWING(S)

FIG. 1 is a schematic block diagram of an embodiment of a dispersed or distributed storage network (DSN) in accordance with the present invention;

FIG. 2 is a schematic block diagram of an embodiment of a computing core in accordance with the present invention;

FIG. 3 is a schematic block diagram of an example of dispersed storage error encoding of data in accordance with the present invention;

FIG. 4 is a schematic block diagram of a generic example of an error encoding function in accordance with the present invention;

FIG. 5 is a schematic block diagram of a specific example of an error encoding function in accordance with the present invention;

FIG. 6 is a schematic block diagram of an example of a slice name of an encoded data slice (EDS) in accordance with the present invention;

FIG. 7 is a schematic block diagram of an example of dispersed storage error decoding of data in accordance with the present invention;

FIG. 8 is a schematic block diagram of a generic example of an error decoding function in accordance with the present invention; and

FIG. 9 is a logic flow diagram of assessing a security risk and performing a security response in accordance with the present invention.

DETAILED DESCRIPTION OF THE INVENTION

FIG. 1 is a schematic block diagram of an embodiment of a dispersed, or distributed, storage network (DSN) 10 that includes a plurality of computing devices 12-16, a managing unit 18, an integrity processing unit 20, and a DSN memory 22. The components of the DSN 10 are coupled to a network 24, which may include one or more wireless and/or wire lined communication systems; one or more non-public intranet systems and/or public internet systems; and/or one or more local area networks (LAN) and/or wide area networks (WAN).

The DSN memory 22 includes a plurality of storage units 36 that may be located at geographically different sites (e.g., one in Chicago, one in Milwaukee, etc.), at a common site, or a combination thereof. For example, if the DSN memory 22 includes eight storage units 36, each storage unit is located at a different site. As another example, if the DSN memory 22 includes eight storage units 36, all eight storage units are located at the same site. As yet another example, if the DSN memory 22 includes eight storage units 36, a first pair of storage units are at a first common site, a second pair of storage units are at a second common site, a third pair of storage units are at a third common site, and a fourth pair of storage units are at a fourth common site. Note that a DSN memory 22 may include more or less than eight storage units 36. Further note that each storage unit 36 includes a computing core (as shown in FIG. 2, or components thereof) and a plurality of memory devices for storing dispersed error encoded data.

Each of the computing devices 12-16, the managing unit 18, and the integrity processing unit 20 include a computing core 26, which includes network interfaces 30-33. Computing devices 12-16 may each be a portable computing device and/or a fixed computing device. A portable computing device may be a social networking device, a gaming device, a cell phone, a smart phone, a digital assistant, a digital music player, a digital video player, a laptop computer, a handheld computer, a tablet, a video game controller, and/or any other portable device that includes a computing core. A fixed computing device may be a computer (PC), a computer server, a cable set-top box, a satellite receiver, a television set, a printer, a fax machine, home entertainment equipment, a video game console, and/or any type of home or office computing equipment. Note that each of the managing unit 18 and the integrity processing unit 20 may be separate computing devices, may be a common computing device, and/or may be integrated into one or more of the computing devices 12-16 and/or into one or more of the storage units 36.

Each interface 30, 32, and 33 includes software and hardware to support one or more communication links via the network 24 indirectly and/or directly. For example, interface 30 supports a communication link (e.g., wired, wireless, direct, via a LAN, via the network 24, etc.) between computing devices 14 and 16. As another example, interface 32 supports communication links (e.g., a wired connection, a wireless connection, a LAN connection, and/or any other type of connection to/from the network 24) between computing devices 12 and 16 and the DSN memory 22. As yet another example, interface 33 supports a communication link for each of the managing unit 18 and the integrity processing unit 20 to the network 24.

Computing devices 12 and 16 include a security module 35, which operates to determine if one or more of the computing devices, managing unit, integrity processing unit, or other device operating in the DSN 10 has a security risk. The security module 35 is discussed further in reference to FIG. 9. Computing devices 12 and 16 also include a dispersed storage (DS) client module 34, which enables the computing device to dispersed storage error encode and decode data (e.g., data 40) as subsequently described with reference to one or more of FIGS. 3-8. In this example embodiment, computing device 16 functions as a dispersed storage processing agent for computing device 14. In this role, computing device 16 dispersed storage error encodes and decodes data on behalf of computing device 14. With the use of dispersed storage error encoding and decoding, the DSN 10 is tolerant of a significant number of storage unit failures (the number of failures is based on parameters of the dispersed storage error encoding function) without loss of data and without the need for a redundant or backup copies of the data. Further, the DSN 10 stores data for an indefinite period of time without data loss and in a secure manner (e.g., the system is very resistant to unauthorized attempts at accessing the data).

In operation, the managing unit 18 performs DS management services. For example, the managing unit 18 establishes distributed data storage parameters (e.g., vault creation, distributed storage parameters, security parameters, billing information, user profile information, etc.) for computing devices 12-14 individually or as part of a group of user devices. As a specific example, the managing unit 18 coordinates creation of a vault (e.g., a virtual memory block associated with a portion of an overall namespace of the DSN) within the DSN memory 22 for a user device, a group of devices, or for public access and establishes per vault dispersed storage (DS) error encoding parameters for a vault. The managing unit 18 facilitates storage of DS error encoding parameters for each vault by updating registry information of the DSN 10, where the registry information may be stored in the DSN memory 22, a computing device 12-16, the managing unit 18, and/or the integrity processing unit 20.

The managing unit 18 creates and stores user profile information (e.g., an access control list (ACL)) in local memory and/or within memory of the DSN memory 22. The user profile information includes authentication information, permissions, and/or the security parameters. The security parameters may include encryption/decryption scheme, one or more encryption keys, key generation scheme, and/or data encoding/decoding scheme.

The managing unit 18 creates billing information for a particular user, a user group, a vault access, public vault access, etc. For instance, the managing unit 18 tracks the number of times a user accesses a non-public vault and/or public vaults, which can be used to generate a per-access billing information. In another instance, the managing unit 18 tracks the amount of data stored and/or retrieved by a user device and/or a user group, which can be used to generate a per-data-amount billing information.

As another example, the managing unit 18 performs network operations, network administration, and/or network maintenance. Network operations includes authenticating user data allocation requests (e.g., read and/or write requests), managing creation of vaults, establishing authentication credentials for user devices, adding/deleting components (e.g., user devices, storage units, and/or computing devices with a DS client module 34) to/from the DSN 10, and/or establishing authentication credentials for the storage units 36. Network administration includes monitoring devices and/or units for failures, maintaining vault information, determining device and/or unit activation status, determining device and/or unit loading, and/or determining any other system level operation that affects the performance level of the DSN 10. Network maintenance includes facilitating replacing, upgrading, repairing, and/or expanding a device and/or unit of the DSN 10.

The integrity processing unit 20 performs rebuilding of ‘bad’ or missing encoded data slices. At a high level, the integrity processing unit 20 performs rebuilding by periodically attempting to retrieve/list encoded data slices, and/or slice names of the encoded data slices, from the DSN memory 22. For retrieved encoded slices, they are checked for errors due to data corruption, outdated version, etc. If a slice includes an error, it is flagged as a ‘bad’ slice. For encoded data slices that were not received and/or not listed, they are flagged as missing slices. Bad and/or missing slices are subsequently rebuilt using other retrieved encoded data slices that are deemed to be good slices to produce rebuilt slices. The rebuilt slices are stored in the DSN memory 22.

FIG. 2 is a schematic block diagram of an embodiment of a computing core 26 that includes a processing module 50, a memory controller 52, main memory 54, a video graphics processing unit 55, an input/output (IO) controller 56, a peripheral component interconnect (PCI) interface 58, an IO interface module 60, at least one IO device interface module 62, a read only memory (ROM) basic input output system (BIOS) 64, and one or more memory interface modules. The one or more memory interface module(s) includes one or more of a universal serial bus (USB) interface module 66, a host bus adapter (HBA) interface module 68, a network interface module 70, a flash interface module 72, a hard drive interface module 74, and a DSN interface module 76.

The DSN interface module 76 functions to mimic a conventional operating system (OS) file system interface (e.g., network file system (NFS), flash file system (FFS), disk file system (DFS), file transfer protocol (FTP), web-based distributed authoring and versioning (WebDAV), etc.) and/or a block memory interface (e.g., small computer system interface (SCSI), internet small computer system interface (iSCSI), etc.). The DSN interface module 76 and/or the network interface module 70 may function as one or more of the interface 30-33 of FIG. 1. Note that the IO device interface module 62 and/or the memory interface modules 66-76 may be collectively or individually referred to as IO ports.

FIG. 3 is a schematic block diagram of an example of dispersed storage error encoding of data. When a computing device 12 or 16 has data to store it disperse storage error encodes the data in accordance with a dispersed storage error encoding process based on dispersed storage error encoding parameters. The dispersed storage error encoding parameters include an encoding function (e.g., information dispersal algorithm, Reed-Solomon, Cauchy Reed-Solomon, systematic encoding, non-systematic encoding, on-line codes, etc.), a data segmenting protocol (e.g., data segment size, fixed, variable, etc.), and per data segment encoding values. The per data segment encoding values include a total, or pillar width, number (T) of encoded data slices per encoding of a data segment (i.e., in a set of encoded data slices); a decode threshold number (D) of encoded data slices of a set of encoded data slices that are needed to recover the data segment; a read threshold number (R) of encoded data slices to indicate a number of encoded data slices per set to be read from storage for decoding of the data segment; and/or a write threshold number (W) to indicate a number of encoded data slices per set that must be accurately stored before the encoded data segment is deemed to have been properly stored. The dispersed storage error encoding parameters may further include slicing information (e.g., the number of encoded data slices that will be created for each data segment) and/or slice security information (e.g., per encoded data slice encryption, compression, integrity checksum, etc.).

In the present example, Cauchy Reed-Solomon has been selected as the encoding function (a generic example is shown in FIG. 4 and a specific example is shown in FIG. 5); the data segmenting protocol is to divide the data object into fixed sized data segments; and the per data segment encoding values include: a pillar width of 5, a decode threshold of 3, a read threshold of 4, and a write threshold of 4. In accordance with the data segmenting protocol, the computing device 12 or 16 divides the data (e.g., a file (e.g., text, video, audio, etc.), a data object, or other data arrangement) into a plurality of fixed sized data segments (e.g., 1 through Y of a fixed size in range of Kilo-bytes to Tera-bytes or more). The number of data segments created is dependent of the size of the data and the data segmenting protocol.

The computing device 12 or 16 then disperse storage error encodes a data segment using the selected encoding function (e.g., Cauchy Reed-Solomon) to produce a set of encoded data slices. FIG. 4 illustrates a generic Cauchy Reed-Solomon encoding function, which includes an encoding matrix (EM), a data matrix (DM), and a coded matrix (CM). The size of the encoding matrix (EM) is dependent on the pillar width number (T) and the decode threshold number (D) of selected per data segment encoding values. To produce the data matrix (DM), the data segment is divided into a plurality of data blocks and the data blocks are arranged into D number of rows with Z data blocks per row. Note that Z is a function of the number of data blocks created from the data segment and the decode threshold number (D). The coded matrix is produced by matrix multiplying the data matrix by the encoding matrix.

FIG. 5 illustrates a specific example of Cauchy Reed-Solomon encoding with a pillar number (T) of five and decode threshold number of three. In this example, a first data segment is divided into twelve data blocks (D1-D12). The coded matrix includes five rows of coded data blocks, where the first row of X11-X14 corresponds to a first encoded data slice (EDS 1_1), the second row of X21-X24 corresponds to a second encoded data slice (EDS 2_1), the third row of X31-X34 corresponds to a third encoded data slice (EDS 3_1), the fourth row of X41-X44 corresponds to a fourth encoded data slice (EDS 4_1), and the fifth row of X51-X54 corresponds to a fifth encoded data slice (EDS 5_1). Note that the second number of the EDS designation corresponds to the data segment number.

Returning to the discussion of FIG. 3, the computing device also creates a slice name (SN) for each encoded data slice (EDS) in the set of encoded data slices. A typical format for a slice name 80 is shown in FIG. 6. As shown, the slice name (SN) 80 includes a pillar number of the encoded data slice (e.g., one of 1-T), a data segment number (e.g., one of 1-Y), a vault identifier (ID), a data object identifier (ID), and may further include revision level information of the encoded data slices. The slice name functions as, at least part of, a DSN address for the encoded data slice for storage and retrieval from the DSN memory 22.

As a result of encoding, the computing device 12 or 16 produces a plurality of sets of encoded data slices, which are provided with their respective slice names to the storage units for storage. As shown, the first set of encoded data slices includes EDS 1_1 through EDS 5_1 and the first set of slice names includes SN 1_1 through SN 5_1 and the last set of encoded data slices includes EDS 1_Y through EDS 5_Y and the last set of slice names includes SN 1_Y through SN 5_Y.

FIG. 7 is a schematic block diagram of an example of dispersed storage error decoding of a data object that was dispersed storage error encoded and stored in the example of FIG. 4. In this example, the computing device 12 or 16 retrieves from the storage units at least the decode threshold number of encoded data slices per data segment. As a specific example, the computing device retrieves a read threshold number of encoded data slices.

To recover a data segment from a decode threshold number of encoded data slices, the computing device uses a decoding function as shown in FIG. 8. As shown, the decoding function is essentially an inverse of the encoding function of FIG. 4. The coded matrix includes a decode threshold number of rows (e.g., three in this example) and the decoding matrix in an inversion of the encoding matrix that includes the corresponding rows of the coded matrix. For example, if the coded matrix includes rows 1, 2, and 4, the encoding matrix is reduced to rows 1, 2, and 4, and then inverted to produce the decoding matrix.

FIG. 9 is a logic flow diagram of assessing a security risk and performing a security response. The method begins at step 100 where a security module operating in a device of a dispersed storage network (DSN), determines whether a storage unit has been identified as having a security risk. When the storage unit is not identified as having the security risk, the method loops back to step 100. When the storage unit is identified as having the security risk, the method continues with step 102, where the security module determines a security risk level for the identified storage unit.

The method continues at step 104, where the security module determines, based on the security risk level, a type of security response and a level of the security response. For example, the security module identifies the storage unit having a security risk based on one or more of: atypical data access requests (e.g., not part of a set, but individual access requests), atypical error rate (e.g., higher than other storage units in the same set and/or at the same site for corrupted data or missing data), and atypical response rate (e.g., higher than average off-line time than other storage units in the same set and/or at the same site). The security module then determines the security risk level for the identified storage unit based on a scale of the one or more of the atypical data access requests, the atypical error rate, and the atypical response rate and determines the storage unit security response when the security risk level indicates potential compromise to data stored in the identified storage unit and determines the DSN security response when the security risk level indicates potential compromise to process resources of the identified storage unit.

When the type of security response is a storage unit security response, the method continues at step 106 where the security module determines if the level of security response is a first local level. When the level of security response is the first local level, the method continues at step 108 where the security module instructs the identified storage unit to implement the first local level security response. For example, when the security module determines the type of security response is a storage unit security response and the level of security response is a first local level, the security module instructs the identified storage unit to implement putting memory devices in the identified storage unit into a read only mode. As another example, when the security module determines the type of security response is a storage unit security response and the level of security response is a first local level, the security module instructs the identified storage unit to implement ceasing multiple phase write operations. As a yet further example, when the security module determines the type of security response is a storage unit security response and the level of security response is a first local level, the security module instructs the identified storage unit to implement one or more of the read only mode, the ceasing multiple phase write operations and ceasing issuance of rebuild requests.

The method continues at step 122, where the security module determines if the storage unit security response at the first local level resolved the security risk. When the storage unit security response at the first local level resolved the security risk, the method continues at step 128, where the security module performs undoing the security response(s) to restore the identified storage unit to a non-security risk operating condition. For example, the storage module instructs the identified storage unit to cease the read-only mode. When the storage unit security response at the first local level did not resolve the security risk, the method continues with step 124, where the security module determines if the risk has escalated.

When the security module determines the risk has escalated, the method continues to step 126, where if available, the security module implements a next type level response. For example, when the type of security response is the storage unit security response and the level of the security response is the first local level, the security module determines, while the storage unit is restricted in accordance with the one or more of a read only mode, ceasing multiple phase write operations, and ceasing issuance of rebuild requests being active, whether the security risk level has escalated. When the security module determines the security risk level has escalated, the security module changes the level of the security response to a second local level and instructs the identified storage unit to implement one or more of, deleting cached encryption keys, deleting user credentials, and resetting device local passwords to random passwords.

As another example, when the type of security response is the DSN security response and the level of the security response is the first network level, the security module determines, while the storage unit is restricted in accordance with revocation of the one or more digital certificates and deletion of the one or more access permissions, whether the security risk level has escalated, and when the security risk level has escalated, the security module changes the level of the security response to a second network level and instructs the one or more devices of the DSN to perform at least one of, powering down the identified storage unit, powering down a device that includes the identified storage unit, and instructing other devices in the DSN not to communicate with or accept communication from at least one of the identified storage unit and the device that includes the identified storage unit. When the security module determines the security risk level has not escalated, the method continues to step 122.

When the level of security response is not the first local level, the method continues to step 110, where the security module determines if the level of security response is a second local level. When the level of the security response is the second local level, the method continues at step 112, where the security module instructs the identified storage unit to implement the second local level security response. For example, the security module instructs the identified storage unit to implement one or more of deleting cached encryption keys, deleting user credentials, and resetting device local passwords to random passwords. The method then continues to step 122.

When the level of the security response is not the second local level, the method continues to step 114, where the security module performs a third local level security response. For example, when the type of security response is the storage unit security response and the level of the security response is the third local level, the security module instructs the identified storage unit to implement one or more of shutting down, terminating open connections, disabling network ports, and activating firewalls to block or restrict external communication. The method then continues to step 122.

When the type of security response is a DSN security response, the method continues at step 116, where the security module determines if the level of security response is a first network level. When the level of security response is the first network level, the method continues at step 120, where the security module instructs one or more devices of the DSN to perform the first network level security response. For example, the security module instructs one or more devices of the DSN to perform at least one of revoking one or more digital certificates (e.g., certificates created by trusted certificate authorities to sign responses for authentication) of the identified storage unit and deleting one or more access permissions (e.g., updates, verification requests, access to access control lists, etc.) of the identified storage unit. The method then continues to step 122.

When the level of security response is not the first network level, the method continues at step 118, where the security module instructs one or more devices of the DSN to perform a second network level security response. For example, when the type of security response is a DSN security response and the level of the security response is the second network level, the security module instructs one or more devices of the DSN to perform at least one of powering down the identified storage unit, powering down a device that includes the identified storage unit, and instructing other devices in the DSN not to communicate with or accept communication from at least one of the identified storage unit and the device that includes the identified storage unit. The method then continues to step 122.

When the type of security response is both a storage unit security response and a DSN security response, the method concurrently continues at step 106 and 116 where the security module instructs the identified storage unit to implement a storage unit security response and instructs one or more devices of the DSN to perform a DSN security response.

It is noted that terminologies as may be used herein such as bit stream, stream, signal sequence, etc. (or their equivalents) have been used interchangeably to describe digital information whose content corresponds to any of a number of desired types (e.g., data, video, speech, audio, etc. any of which may generally be referred to as ‘data’).

As may be used herein, the terms “substantially” and “approximately” provides an industry-accepted tolerance for its corresponding term and/or relativity between items. Such an industry-accepted tolerance ranges from less than one percent to fifty percent and corresponds to, but is not limited to, component values, integrated circuit process variations, temperature variations, rise and fall times, and/or thermal noise. Such relativity between items ranges from a difference of a few percent to magnitude differences. As may also be used herein, the term(s) “configured to”, “operably coupled to”, “coupled to”, and/or “coupling” includes direct coupling between items and/or indirect coupling between items via an intervening item (e.g., an item includes, but is not limited to, a component, an element, a circuit, and/or a module) where, for an example of indirect coupling, the intervening item does not modify the information of a signal but may adjust its current level, voltage level, and/or power level. As may further be used herein, inferred coupling (i.e., where one element is coupled to another element by inference) includes direct and indirect coupling between two items in the same manner as “coupled to”. As may even further be used herein, the term “configured to”, “operable to”, “coupled to”, or “operably coupled to” indicates that an item includes one or more of power connections, input(s), output(s), etc., to perform, when activated, one or more its corresponding functions and may further include inferred coupling to one or more other items. As may still further be used herein, the term “associated with”, includes direct and/or indirect coupling of separate items and/or one item being embedded within another item.

As may be used herein, the term “compares favorably”, indicates that a comparison between two or more items, signals, etc., provides a desired relationship. For example, when the desired relationship is that signal 1 has a greater magnitude than signal 2, a favorable comparison may be achieved when the magnitude of signal 1 is greater than that of signal 2 or when the magnitude of signal 2 is less than that of signal 1. As may be used herein, the term “compares unfavorably”, indicates that a comparison between two or more items, signals, etc., fails to provide the desired relationship.

As may also be used herein, the terms “processing module”, “processing circuit”, “processor”, and/or “processing unit” may be a single processing device or a plurality of processing devices. Such a processing device may be a microprocessor, micro-controller, digital signal processor, microcomputer, central processing unit, field programmable gate array, programmable logic device, state machine, logic circuitry, analog circuitry, digital circuitry, and/or any device that manipulates signals (analog and/or digital) based on hard coding of the circuitry and/or operational instructions. The processing module, module, processing circuit, and/or processing unit may be, or further include, memory and/or an integrated memory element, which may be a single memory device, a plurality of memory devices, and/or embedded circuitry of another processing module, module, processing circuit, and/or processing unit. Such a memory device may be a read-only memory, random access memory, volatile memory, non-volatile memory, static memory, dynamic memory, flash memory, cache memory, and/or any device that stores digital information. Note that if the processing module, module, processing circuit, and/or processing unit includes more than one processing device, the processing devices may be centrally located (e.g., directly coupled together via a wired and/or wireless bus structure) or may be distributedly located (e.g., cloud computing via indirect coupling via a local area network and/or a wide area network). Further note that if the processing module, module, processing circuit, and/or processing unit implements one or more of its functions via a state machine, analog circuitry, digital circuitry, and/or logic circuitry, the memory and/or memory element storing the corresponding operational instructions may be embedded within, or external to, the circuitry comprising the state machine, analog circuitry, digital circuitry, and/or logic circuitry. Still further note that, the memory element may store, and the processing module, module, processing circuit, and/or processing unit executes, hard coded and/or operational instructions corresponding to at least some of the steps and/or functions illustrated in one or more of the Figures. Such a memory device or memory element can be included in an article of manufacture.

One or more embodiments have been described above with the aid of method steps illustrating the performance of specified functions and relationships thereof. The boundaries and sequence of these functional building blocks and method steps have been arbitrarily defined herein for convenience of description. Alternate boundaries and sequences can be defined so long as the specified functions and relationships are appropriately performed. Any such alternate boundaries or sequences are thus within the scope and spirit of the claims. Further, the boundaries of these functional building blocks have been arbitrarily defined for convenience of description. Alternate boundaries could be defined as long as the certain significant functions are appropriately performed. Similarly, flow diagram blocks may also have been arbitrarily defined herein to illustrate certain significant functionality.

To the extent used, the flow diagram block boundaries and sequence could have been defined otherwise and still perform the certain significant functionality. Such alternate definitions of both functional building blocks and flow diagram blocks and sequences are thus within the scope and spirit of the claims. One of average skill in the art will also recognize that the functional building blocks, and other illustrative blocks, modules and components herein, can be implemented as illustrated or by discrete components, application specific integrated circuits, processors executing appropriate software and the like or any combination thereof.

In addition, a flow diagram may include a “start” and/or “continue” indication. The “start” and “continue” indications reflect that the steps presented can optionally be incorporated in or otherwise used in conjunction with other routines. In this context, “start” indicates the beginning of the first step presented and may be preceded by other activities not specifically shown. Further, the “continue” indication reflects that the steps presented may be performed multiple times and/or may be succeeded by other activities not specifically shown. Further, while a flow diagram indicates a particular ordering of steps, other orderings are likewise possible provided that the principles of causality are maintained.

The one or more embodiments are used herein to illustrate one or more aspects, one or more features, one or more concepts, and/or one or more examples. A physical embodiment of an apparatus, an article of manufacture, a machine, and/or of a process may include one or more of the aspects, features, concepts, examples, etc. described with reference to one or more of the embodiments discussed herein. Further, from figure to figure, the embodiments may incorporate the same or similarly named functions, steps, modules, etc. that may use the same or different reference numbers and, as such, the functions, steps, modules, etc. may be the same or similar functions, steps, modules, etc. or different ones.

Unless specifically stated to the contra, signals to, from, and/or between elements in a figure of any of the figures presented herein may be analog or digital, continuous time or discrete time, and single-ended or differential. For instance, if a signal path is shown as a single-ended path, it also represents a differential signal path. Similarly, if a signal path is shown as a differential path, it also represents a single-ended signal path. While one or more particular architectures are described herein, other architectures can likewise be implemented that use one or more data buses not expressly shown, direct connectivity between elements, and/or indirect coupling between other elements as recognized by one of average skill in the art.

The term “module” is used in the description of one or more of the embodiments. A module implements one or more functions via a device such as a processor or other processing device or other hardware that may include or operate in association with a memory that stores operational instructions. A module may operate independently and/or in conjunction with software and/or firmware. As also used herein, a module may contain one or more sub-modules, each of which may be one or more modules.

As may further be used herein, a computer readable memory includes one or more memory elements. A memory element may be a separate memory device, multiple memory devices, or a set of memory locations within a memory device. Such a memory device may be a read-only memory, random access memory, volatile memory, non-volatile memory, static memory, dynamic memory, flash memory, cache memory, and/or any device that stores digital information. The memory device may be in a form a solid state memory, a hard drive memory, cloud memory, thumb drive, server memory, computing device memory, and/or other physical medium for storing digital information.

While particular combinations of various functions and features of the one or more embodiments have been expressly described herein, other combinations of these features and functions are likewise possible. The present disclosure is not limited by the particular examples disclosed herein and expressly incorporates these other combinations. 

What is claimed is:
 1. A method for execution by a computing device of a dispersed storage network (DSN), the method comprises: for a storage unit of a set of storage units of the DSN, performing at least one of: determining whether a data access request for the storage unit is atypical, wherein the data access request is atypical when one or more of the data access request is included in a group of data access requests that is over an access request threshold, and the data access request is not part of a set of access requests to the set of storage units; determining whether an error rate for the storage unit is atypical, wherein the error rate is atypical when one or more of the error rate is greater than an error rate threshold more than other storage units of the set of storage units, and the error rate for corrupted data or missing data is greater than the error rate threshold more than other storage units of a same site as the storage unit; determining whether a response rate for the storage unit is atypical, wherein the response rate is atypical when one or more of the response rate is greater than a response rate threshold of average off-line time compared to other storage units in the set of storage units, and the response rate is greater than a response rate threshold of average off-line time compared to other storage units in the same site; and when the at least one of the data access request, the error rate, and the response rate for the storage unit is atypical: identifying the storage unit as having a security risk; and executing a security response for the identified storage unit based on the security risk.
 2. The method of claim 1, wherein the executing the security response comprises: determining a security risk level for the identified storage unit based on a scale of the at least one of the atypical data access request, the atypical error rate, and the atypical response rate; determining, based on the security risk level, a type of security response and a level of the security response; and when the type of security response is a storage unit security response and the level of the security response is a first local level, instructing the identified storage unit to implement one or more of a read only mode, ceasing multiple phase write operations, and ceasing issuance of rebuild requests; and when the type of security response is a DSN security response and the level of the security response is a first network level, instructing one or more devices of the DSN to perform at least one of revoking one or more digital certificates of the storage unit and deleting one or more access permissions of the identified storage unit.
 3. The method of claim 2, wherein the determining the security risk level for the storage unit comprises: when the type of the security response is both the DSN security response and the storage unit security response, instructing the identified storage unit to implement the storage unit security response and instructing the one or more devices of the DSN to perform the DSN security response.
 4. The method of claim 2 further comprises: when the type of security response is the storage unit security response and the level of the security response is a second local level, instructing the identified storage unit to implement one or more of: deleting cached encryption keys; deleting user credentials; and resetting device local passwords to random passwords.
 5. The method of claim 2 further comprises: when the type of security response is the storage unit security response and the level of the security response is a third local level, instructing the identified storage unit to implement one or more of: shutting down; terminating open connections; disabling network ports; and activating firewalls to block or restrict external communication.
 6. The method of claim 2 further comprises: when the type of security response is the DSN security response and the level of the security response is a second network level, instructing the one or more devices of the DSN to perform at least one of: powering down the identified storage unit; powering down a device of the DSN that includes the identified storage unit; and instructing other devices in the DSN not to communicate with or accept communication from at least one of the identified storage unit and the device that includes the identified storage unit.
 7. The method of claim 2 further comprises: when the type of security response is the storage unit security response and the level of the security response is the first local level, determining, while the identified storage unit is restricted in accordance with the one or more of the read only mode, ceasing multiple phase write operations, and ceasing issuance of rebuild requests is active, whether the security risk level has escalated; and when the security risk level has escalated, changing the level of the security response to at least one of: a second local level and a third local level.
 8. The method of claim 2 further comprises: when the type of security response is the DSN security response and the level of the security response is the first network level, determining, while the identified storage unit is restricted in accordance with revocation of the one or more digital certificates and deletion of the one or more access permissions, whether the security risk level has escalated; and when the security risk level has escalated, changing the level of the security response to a second network level.
 9. The method of claim 2 further comprises: determining the storage unit security response when the security risk level indicates potential compromise to data stored in the identified storage unit; and determining the DSN security response when the security risk level indicates potential compromise to process resources of the identified storage unit.
 10. The method of claim 1 further comprises: when the security risk is no longer detected, undoing the security response(s) to restore the identified storage unit to a non-security risk operating condition.
 11. A computing device of a dispersed storage network (DSN) comprises: an interface; memory; and a processing module operably coupled to the memory and the interface, wherein the processing module is operable to: for a storage unit of a set of storage units of the DSN, perform at least one of: determining whether a data access request for the storage unit is atypical, wherein the data access request is atypical when one or more of the data access request is included in a group of data access requests that is over an access request threshold, and the data access request is not part of a set of access requests to the set of storage units; determining whether an error rate for the storage unit is atypical, wherein the error rate is atypical when one or more of the error rate is greater than an error rate threshold more than other storage units of the set of storage units, and the error rate for corrupted data or missing data is greater than the error rate threshold more than other storage units of a same site as the storage unit; determining whether a response rate for the storage unit is atypical, wherein the response rate is atypical when one or more of the response rate is greater than a response rate threshold of average off-line time compared to other storage units in the set of storage units, and the response rate is greater than a response rate threshold of average off-line time compared to other storage units in the same site; and when the at least one of the data access request, the error rate, and the response rate for the storage unit is atypical: identify the storage unit as having a security risk; and execute a security response for the identified storage unit based on the security risk.
 12. The computing device of claim 11, wherein the processing module is operable to execute the security response by: determining a security risk level for the identified storage unit based on a scale of the at least one of the atypical data access request, the atypical error rate, and the atypical response rate; determining, based on the security risk level, a type of security response and a level of the security response; and when the type of security response is a storage unit security response and the level of the security response is a first local level, instructing the identified storage unit to implement one or more of a read only mode, ceasing multiple phase write operations, and ceasing issuance of rebuild requests; and when the type of security response is a DSN security response and the level of the security response is a first network level, instructing one or more devices of the DSN to perform at least one of revoking one or more digital certificates of the identified storage unit and deleting one or more access permissions of the identified storage unit.
 13. The computing device of claim 12, wherein the processing module is operable to determine the security risk level for the identified storage unit by: when the type of the security response is both the DSN security response and the storage unit security response, instructing the identified storage unit to implement the storage unit security response and instructing the one or more devices of the DSN to perform the DSN security response.
 14. The computing device of claim 12, wherein the processing module is further operable to: when the type of security response is the storage unit security response and the level of the security response is a second local level, instruct the identified storage unit to implement one or more of: deleting cached encryption keys; deleting user credentials; and resetting device local passwords to random passwords.
 15. The computing device of claim 12, wherein the processing module is further operable to: when the type of security response is the storage unit security response and the level of the security response is a third local level, instruct the identified storage unit to implement one or more of: shutting down; terminating open connections; disabling network ports; and activating firewalls to block or restrict external communication.
 16. The computing device of claim 12, wherein the processing module is further operable to: when the type of security response is the DSN security response and the level of the security response is a second network level, instruct the one or more devices of the DSN to perform at least one of: powering down the identified storage unit; powering down a device of the DSN that includes the identified storage unit; and instructing other devices in the DSN not to communicate with or accept communication from at least one of the identified storage unit and the device that includes the identified storage unit.
 17. The computing device of claim 12, wherein the processing module is further operable to: when the type of security response is the storage unit security response and the level of the security response is the first local level, determine, while the identified storage unit is restricted in accordance with the one or more of the read only mode, ceasing multiple phase write operations, and ceasing issuance of rebuild requests is active, whether the security risk level has escalated; and when the security risk level has escalated, changing the level of the security response to at least one of: a second local level and a third local level.
 18. The computing device of claim 12, wherein the processing module is further operable to: when the type of security response is the DSN security response and the level of the security response is the first network level, determine, while the identified storage unit is restricted in accordance with revocation of the one or more digital certificates and deletion of the one or more access permissions, whether the security risk level has escalated; and when the security risk level has escalated, change the level of the security response to a second network level.
 19. The computing device of claim 12, wherein the processing module is further operable to: determine the storage unit security response when the security risk level indicates potential compromise to data stored in the identified storage unit; and determine the DSN security response when the security risk level indicates potential compromise to process resources of the storage unit.
 20. The computing device of claim 11, wherein the processing module is further operable to: when the security risk is no longer detected, undo the security response(s) to restore the identified storage unit to a non-security risk operating condition. 